Acerca de Victor
I help teams ship autonomous systems, production ML, and computer vision that actually work outside the lab. Whether you need an end-to-end perception pipeline, a multi-robot deployment on real hardware, or trillion-parameter LLMs serving 20+ users on GPU clusters, I'm your guy.
What I usually deliver: sim-to-real transfer pipelines, real-time object detection and visual servoing for drones, distributed
multi-agent control systems, containerized simulation infrastructure, and enterprise AI platforms with vLLM, Kubernetes, and human-in-the-loop orchestration.
What makes me different: I bridge domains that most people don't. MSc in AI (UvA/VU Amsterdam), BSc in Medicine, 3 IEEE publications (RAL, ICRA), and hands-on experience from medical image segmentation to swarm robotics firmware in C++ to deploying Qwen-340B on 16×H200 nodes. I go from PyTorch training to ROS 2 integration to embedded hardware without a handoff.
Stack: Python, C++, PyTorch, ROS/ROS2, MuJoCo, Isaac Lab, vLLM, Docker, Kubernetes, CUDA, OpenCV.
Español
Bilingüe o nativo
Inglés
Bilingüe o nativo
Portugués
Competencia profesional básica
Acepta trabajo presencial
Badajoz (hasta 50 km), Sevilla (hasta 50 km), Cáceres (hasta 50 km)
Experiencia
- Technology Innovation Institute (TII)Machine Learning Robotics EngineerHIGH TECHseptiembre de 2023 - abril de 2026 (2 años y 7 meses)Abu Dhabi - United Arab EmiratesBuilt and deployed an enterprise AI platform serving R&D and external clients, with multi-agent routing, human-in-the-loop approvals, and token-aware context management. Personally integrated domain toolchains (satellite imaging, robotics) as the subject-matter expert.Deployed trillion-parameter LLMs (Kimi-2T, Qwen-340B) on a 2-node 16×H200 cluster with vLLM. Benchmarked quantization-vs-quality tradeoffs to sustain ~20 concurrent researchers in a shared coding environment.Packaged the full inference stack (vLLM, LiteLLM, orchestrator) on Kubernetes in an air-gapped secure zone for cryptographic research. Coordinated network isolation and access controls with DevOps.Led a 3-engineer team delivering a 24-node autonomous system now running live client missions. Trained xLSTM neighbor-state predictors on fused sensor data (IMU, GPS, magnetometer) to achieve sub-second synchronization despite 100s comms intervals and wind disturbances.Developed real-time vision-based positioning for aerial manipulation outdoors with <5 cm accuracy in winds up to 20 km/h, integrating across 3 cross-functional teamsReplaced multi-day field-test campaigns with containerized simulation (>20 parallel instances), cutting ~80% of physical tuning days before hardware validation
- Private SICAV Fund Management FirmMachine Learning ConsultantCAPITAL PRIVADOagosto de 2023 - mayo de 2025 (1 año y 9 meses)Barcelona, EspañaRan a ~2-year private consulting engagement for a fund management CTO: designed a full ML curriculum from linear regression through Transformers, PPO, and xLSTM. Built hands-on teaching projects with real market data covering time-series forecasting, multi-task learning, and reinforcement learning.
- Bio-Inspired Robotics Lab, VUResearch Engineer (Multi-Agent Systems)CENTROS DE INVESTIGACIÓNagosto de 2022 - septiembre de 2023 (1 año y 1 mes)Amsterdam, NetherlandsCo-authored distributed control methods published at IEEE RAL and ICRA. Built the C/C++ swarm firmware stack now used by 5+ MSc & PhD projects. Designed simulation environments for training and evaluating multi-agent RL policies on swarm robotics tasks. Ran systematic experiments comparing reward formulations and observation spaces.
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Formación
- MSc in Artificial IntelligenceVrije Universiteit Amsterdam & University of Amsterdam2023
- BSc in Medicine & SurgeryUniversidad de Extremadura2020